Literature DB >> 26627618

Kinetics from Implicit Solvent Simulations of Biomolecules as a Function of Viscosity.

Michael Feig1.   

Abstract

Kinetic properties of alanine dipeptide, the B1 domain of streptococcal protein G, and ubiquitin are compared between explicit solvent and implicit solvent simulations with the generalized Born molecular volume (GBMV) method. The results indicate that kinetics from explicit solvent simulations and experiments can be matched closely when the implicit solvent simulations are combined with Langevin dynamics and a friction coefficient near 10 ps(-1). Smaller and larger friction coefficients accelerate and slow down conformational sampling. It is found that local conformational exploration without the crossing of significant barriers can be accelerated by a factor of 4-5; however, the acceleration of barrier crossings is limited to about a factor of 2. The use of a Nosé-Hoover thermostat instead of Langevin dynamics greatly enhances local conformational sampling but slows down the crossing of barriers by at least an order of magnitude because of the lack of solute-solvent stochastic collisions.

Entities:  

Year:  2007        PMID: 26627618     DOI: 10.1021/ct7000705

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  13 in total

1.  Computational Estimation of Microsecond to Second Atomistic Folding Times.

Authors:  Upendra Adhikari; Barmak Mostofian; Jeremy Copperman; Sundar Raman Subramanian; Andrew A Petersen; Daniel M Zuckerman
Journal:  J Am Chem Soc       Date:  2019-04-12       Impact factor: 15.419

2.  Efficient equilibrium sampling of all-atom peptides using library-based Monte Carlo.

Authors:  Ying Ding; Artem B Mamonov; Daniel M Zuckerman
Journal:  J Phys Chem B       Date:  2010-05-06       Impact factor: 2.991

3.  Implicit Solvent Model for Million-Atom Atomistic Simulations: Insights into the Organization of 30-nm Chromatin Fiber.

Authors:  Saeed Izadi; Ramu Anandakrishnan; Alexey V Onufriev
Journal:  J Chem Theory Comput       Date:  2016-11-07       Impact factor: 6.006

4.  Renormalizing SMD: the renormalization approach and its use in long time simulations and accelerated PMF calculations of macromolecules.

Authors:  Anatoly Dryga; Arieh Warshel
Journal:  J Phys Chem B       Date:  2010-10-07       Impact factor: 2.991

5.  The O-glycosylated linker from the Trichoderma reesei Family 7 cellulase is a flexible, disordered protein.

Authors:  Gregg T Beckham; Yannick J Bomble; James F Matthews; Courtney B Taylor; Michael G Resch; John M Yarbrough; Steve R Decker; Lintao Bu; Xiongce Zhao; Clare McCabe; Jakob Wohlert; Malin Bergenstråhle; John W Brady; William S Adney; Michael E Himmel; Michael F Crowley
Journal:  Biophys J       Date:  2010-12-01       Impact factor: 4.033

6.  Molecular dynamics trajectory compression with a coarse-grained model.

Authors:  Yi-Ming Cheng; Srinivasa Murthy Gopal; Sean M Law; Michael Feig
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011-10-17       Impact factor: 3.710

7.  Effect of flanking residues on the conformational sampling of the internal fusion peptide from Ebola virus.

Authors:  Adam J Jaskierny; Afra Panahi; Michael Feig
Journal:  Proteins       Date:  2011-01-18

8.  Speed of conformational change: comparing explicit and implicit solvent molecular dynamics simulations.

Authors:  Ramu Anandakrishnan; Aleksander Drozdetski; Ross C Walker; Alexey V Onufriev
Journal:  Biophys J       Date:  2015-03-10       Impact factor: 4.033

9.  PIK3CA somatic mutations in breast cancer: Mechanistic insights from Langevin dynamics simulations.

Authors:  Parminder K Mankoo; Saraswati Sukumar; Rachel Karchin
Journal:  Proteins       Date:  2009-05-01

Review 10.  Reaching new levels of realism in modeling biological macromolecules in cellular environments.

Authors:  Michael Feig; Yuji Sugita
Journal:  J Mol Graph Model       Date:  2013-08-28       Impact factor: 2.518

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